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In The present book Chapter ¿ I is an introductory one. It contains the general introduction about the problem of forecasting besides objectives and organization of the research.Chapter ¿ II describes the various basic forecasting models such as Naive, Moving averages, Simple smoothing, Double moving averages and Double smoothing, triple smoothing and adaptive smoothing forecasting models. Chapter ¿ III deals with the Adaptive, Filtering and Combination for forecasting techniques. Chapter ¿ IV gives the need for exponential smoothing forecasting model along with model selection criterion. Chapter ¿ V presents the presents the various autoregressive forecasting models such as ARMA, ARIMA and STARMA models with their link with dynamic linear models .Chapter ¿ VI proposes some new forecasting techniques in econometrics. Chapter ¿ VII epitomizes the conclusions based on the present book..Several relevant articles regarding the forecasting techniques have been presented under a separate title ¿BIBLIOGRAPHY¿.
| Autorius: | S. Yadavendra Babu, M. Subbarayudu, Balasiddamuni Pagadala, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2013 |
| Knygos puslapių skaičius: | 168 |
| ISBN-10: | 3659478911 |
| ISBN-13: | 9783659478918 |
| Formatas: | 220 x 150 x 11 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Some Aspects Of Forecasting Techniques In Econometrics: Advanced Forecasting Methods“
